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255 results for “Learning Experience”

Research Article Open Access Effects of User Satisfaction on the Characteristics of Call Center Tables used in Open-Plan Offices
Ahmet Mestan, Mestan A, Kemal Yıldırım, Yıldırım K, Ayşen Özkan, Özkan A
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

In this study, it is aimed that positive direction for development of environmental conditions in employees' exterior space related open-plan office and improvement of comfort conditions of the call center tables using in the office. In the study, characterist…

Research Article Open Access The Sample of Workplace Applied Training In Çumra Vocational School
Günel Yılmaz, Yılmaz G
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Workplace applied training (internship), one of the stages of technical education, has a very important place in personal development. Students were doing work experience as soon as they can helps professionalization. In this study, the example of Çumra Vocati…

Research Article Open Access A modified two-dimensional (2D) risk model for occupational health and safety (OHS) risk assessment in mining environments
M. Fatih Ak, Ak M, Muhammed Gül, Gül M
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Mining environments have faced with serious fatalities related to works, workplaces and workers as a consequence of their accident-prone processes. Underground mining stands in the first place in terms of being a hazardous industry worldwide. Due to risks invo…

Research Article Open Access Fuzzy Control Based Physiological Home Automation
Fatih Tahtasakal, Tahtasakal F, Ökkeş Fatih Keçecioğlu, Keçecioğlu Ö, Ahmet Gani, Gani A, Mustafa Şekkeli, Şekkeli M
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Many situations in human life are described with uncertain narratives. The fuzzy set theory has revealed as a powerful tool to deal with the uncertainty of human thoughts and expressions, by Azerbaijani Prof. Dr. Lotfi A. Zadeh in 1965. In the classical cluste…

Research Article Open Access Sustainability Within The Context of Gastronomy Tourism: The Case of Ebem Köftesi*
Tuba Şahin Ören, Şahin Ören T, Veli Erdinç Ören, Ören V
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

In the world where tourism is developing rapidly, people travel more and are now turning to alternative tourism activities according to the conditions of the present day. In this context, it is observed that, in line with the socio-economic developments of the…

Research Article Open Access Numerical Simulation of A Cavitating Centrifugal Pump
Aydın Hacı Dönmez, Dönmez A, Zehra Yumurtacı, Yumurtacı Z, Levent Kavurmacıoğlu, Kavurmacıoğlu L
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

Current study is related with numerical simulation of a centrifugal pump impeller with the specific speed of nq=13. By the help of computational fluid dynamics (CFD) at different operating points, pump performance rsults (Head-Discharge graph) are obtained. Si…

Research Article Open Access DETERMINING USER BEHAVIORS WITH USABILITY TESTING TOOLS AND PLANNING USER INTERFACES
Ahmet Gürkan Yüksek, Yüksek A, Halil Arslan, Arslan H, Mustafa Lemi, Lemi M, Gülşah Çiftçi, Çiftçi G
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

Nowadays new applications and new web sites are being developed, better methods and tools are needed in order to be able to develop web or mobile applications in a fast and interactive way with minimal code structure. In this point, both the design of the appl…

Research Article Open Access Yüzey Renk Bilgisinin Belirlenerek Bilgisayar Destekli İşitsel olarak Üretilmesi
Eşref Erdoğan, Erdoğan E, Ömer Galip Saraçoğlu, Saraçoğlu Ö
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

Görme engellilerin yaşamlarını kolaylaştıran teknolojik gelişmeler her geçen gün artmaktadır. Cisimlerin renklerini algılama onların sesle bildirimde bulunulması ile olabilmektedir. Bu çalışmada optik tabanlı renk sensörü tasarlanarak bu renkleri, renk kelimel…

Research Article Open Access Parallel Image Processing Algorithms on GPU Environment
Zafer Güler, Güler Z, Ahmet Çınar, Çınar A, Erdal Özbay, Özbay E
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

The use of GPUs for general purpose applications is not a recent approach, but it was quickly becoming widespread with NVIDIA's CUDA (Compute Unified Device Architecture) architecture based on C programming language in 2007. Algorithms suitable for parallel op…

Research Article Open Access Detecting Fraud, Waste, and Abuse in Healthcare Claims using AI: Applying Isolation Forest to Claim Analytics
Naren Chandra, Chandra N, Vineel Arekapudi, Arekapudi V
International Conference on Open Finance 2025 https://doi.org/10.36287/setsci.24.3.023

Healthcare fraud, waste, and abuse (FWA) are among the most significant drivers of financial inefficiency in healthcare systems worldwide, with estimates suggesting they contribute to as much as 10% of total healthcare expenditures. In the United States, these…

Research Article Open Access Study of FPGA – Based Spiking Neural Networks: Classification Implementation
Mehmet Sinan Çınaroğlu, Çınaroğlu M, Erol Seke, Seke E
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.26.001

With the help of ability to imitate the biological nervous system, Spiking Neural Networks (SNNs) architectures have become popular recently. In order to benefit at the maximum level from the low power consumption, event-based structure and parallelization fea…

Research Article Open Access El Yazısı Karakterlerin Tanınmasında Derin Sinir Ağlarının Etkinliği Kısıtlı ve Geniş Sınıf Yapılarının Performans Analizi
Erdin Fidan, Fidan E, Mahir Kaya, Kaya M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.65.001

Bu çalışmada, el yazısı karakterlerin tanınmasına yönelik derin öğrenme tabanlı bir model geliştirilmiştir. Model, farklı sayıda çıkış sınıfı (karakter) için test edilmiş; yalnızca 10 karakterin sınıflandırıldığı senaryoda %96 doğruluk oranı elde edilirken, sı…

Research Article Open Access Accurate and Scalable Object Detection for Smart Warehousing Using YOLOv8 and Residual CNNs
Iman Elawady, Elawady I, Abdulrahman Al Homsi, Homsi A, Omer Ahmed Mohamed Ahmed, Ahmed O
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.51.001

Robust object detection and classification in dynamic industrial scenarios is still a challenge, in particular if the system has to work in real-time on mid-ranged hardware. Classical vision-based methods have difficulties to cope with low/weak illumination, r…

Research Article Open Access Mobil Manipülatörler için Derin Öğrenme Tabanlı Arıza Teşhis Sistemi
Zekican Yılmaz, Yılmaz Z, Tolga Yüksel, Yüksel T
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.011

Özetçe - Mobil manipülatörler, çeşitli endüstrilerde önemli bir rol oynamakta olup, üretim ve lojistikten sağlık hizmetleri ve felaket müdahalesine kadar birçok göreve katkı sağlamaktadır. Bu nedenle dünya genelinde çeşitli endüstriler büyüdükçe mobil manipüla…

Research Article Open Access Face Mask Detection Using Deep Learning For Public Places
Asmaallah FALLAHA, FALLAHA A, Mohamad Taj Eddin ASHOUR, ASHOUR M, Dala KRAYEM, KRAYEM D, Saed ALQARALEH, ALQARALEH S
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.004

Over the past century, before and after the pandemic of COVID-19, workers in multiple sectors, such as medical, chemical, and nuclear, have been required to wear face masks during duties. However, physical 24/7 supervision is nearly impossible in public places…

Research Article Open Access Derin Öğrenme-Tabanlı Optimum Eşik Değeri ile Cihazdan Cihaza İşbirlikli İletişim Sistemlerinin Hata Başarımının İyileştirilmesi
Emre Çakar, Çakar E, Ahmet Emir, Emir A, Ferdi Kara, Kara F, Hakan Kaya, Kaya H
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.001

Makine öğrenmesi teknikleri, hesaplama hızları, başarımları ve tam bilgiye sahip olunmayan durumlarda bile sunduğu çözümler sayesinde birçok mühendislik problemleri için vazgeçilmez bir araç haline gelmiştir. Tüm mühendislik alanlarında olduğu gibi, kablosuz i…

Research Article Open Access Real-time Pedestrian Attribute Detection from Surveillance Cameras
Betül Ay, Ay B, Galip Aydin, Aydin G
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.002

In recent years, computer vision has taken great strides in understanding and recognition the visual scenes together with deep learning technologies. Object recognition is one of the key areas of the computer vision applications. It is mainly concerned with re…

Research Article Open Access Lightweight Attention-Based Framework for Semantic Segmentation and Compression of 3D LiDAR Data
Rytis Maskeliünas, Maskeliünas R, Sarmad Maqsood, Maqsood S
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.5.001

Efficient semantic segmentation and compression of 3D point cloud data are essential for enabling scalable, real-world applications involving large-scale LiDAR environments. This work presents a lightweight hybrid framework that integrates point transformer v3…

Research Article Open Access Optimizing Accuracy and Efficiency in Ship Detection from Satellite Images through a Comparative Analysis of Object Detection Models
Nesli S. Azdavay, Azdavay N, Zofia G. Zajac, Zajac Z, Hakan M.  Didis, Didis H, Ilayda Boz, Boz I
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.2.006

This study evaluates the performance of Faster R-CNN and YOLOv7 object detectors for dynamic ship detection in maritime applications. Both algorithms are tested under challenging conditions, including poor image quality due to cloud and dust obscuration, varyi…

Research Article Open Access Integrating UAVs and YOLO Deep Learning for Early-Stage Forest Fire Detection
Hakan Mert Didis, Didis H, Firuze  Adibeli, Adibeli F, Ilayda  Boz, Boz I, Nesli S.  Azdavay, Azdavay N
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.3.012

The uncontrolled spread of forest fires, driven by climate change and increasing human activities, poses a significant global challenge, disrupting the delicate balance of ecosystems. These fires, whether caused by natural disasters or human factors, have seve…

Research Contributions (2019+)Peer reviewed by at least two reviewers
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